Do Concept Bottleneck Models Learn as Intended?

10 May 2021

Papers citing "Do Concept Bottleneck Models Learn as Intended?"

50 / 70 papers shown

Title
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models Yan Xie Zequn Zeng Hao Zhang Yucheng Ding Y. Wang Zhengjue Wang Bo Chen Hongwei Liu OT 33 0 0 12 May 2025
If Concept Bottlenecks are the Question, are Foundation Models the Answer? Nicola Debole Pietro Barbiero Francesco Giannini Andrea Passerini Stefano Teso Emanuele Marconato 131 0 0 28 Apr 2025
Leakage and Interpretability in Concept-Based Models Enrico Parisini Tapabrata Chakraborti Chris Harbron Ben D. MacArthur Christopher R. S. Banerji 40 0 0 18 Apr 2025
Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach Mikael Makonnen Moritz Vandenhirtz Sonia Laguna Julia E. Vogt 19 1 0 13 Apr 2025
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models Susmit Agrawal Deepika Vemuri S. Paul Vineeth N. Balasubramanian CLL 67 0 0 27 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions H. Fokkema T. Erven Sara Magliacane 70 1 0 10 Feb 2025
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model Yuxuan Cai X. Wang Satoshi Tsutsui Winnie Pang Bihan Wen 60 0 0 03 Feb 2025
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance Divyansh Srivastava Beatriz Cabrero-Daniel Christian Berger VLM 62 8 0 17 Jan 2025
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations Laura O'Mahony Nikola S. Nikolov David JP O'Sullivan 28 0 0 15 Nov 2024
Concept Bottleneck Language Models For protein design Aya Abdelsalam Ismail Tuomas Oikarinen Amy Wang Julius Adebayo Samuel Stanton ... J. Kleinhenz Allen Goodman H. C. Bravo Kyunghyun Cho Nathan C. Frey 34 4 0 09 Nov 2024
Classification with Conceptual Safeguards Hailey Joren Charles Marx Berk Ustun 37 2 0 07 Nov 2024
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales Tang Li Mengmeng Ma Xi Peng 37 2 0 31 Oct 2024
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks Alba Carballo-Castro Sonia Laguna Moritz Vandenhirtz Julia E. Vogt DiffM 24 1 0 24 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 26 0 0 18 Oct 2024
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting Maxime Kayser Bayar I. Menzat Cornelius Emde Bogdan Bercean Alex Novak Abdala Espinosa B. Papież Susanne Gaube Thomas Lukasiewicz Oana-Maria Camburu 23 1 0 16 Oct 2024
Tree-Based Leakage Inspection and Control in Concept Bottleneck Models Angelos Ragkousis Sonali Parbhoo 29 1 0 08 Oct 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 52 2 0 20 Sep 2024
CoLiDR: Concept Learning using Aggregated Disentangled Representations Sanchit Sinha Guangzhi Xiong Aidong Zhang 29 0 0 27 Jul 2024
Concept Bottleneck Models Without Predefined Concepts Simon Schrodi Julian Schur Max Argus Thomas Brox 40 9 0 04 Jul 2024
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound Arianna Bunnell Yannik Glaser Dustin Valdez T. Wolfgruber Aleen Altamirano Carol Zamora González Brenda Y. Hernandez Peter Sadowski John A. Shepherd 31 0 0 29 Jun 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules Lev V. Utkin A. Konstantinov Stanislav R. Kirpichenko 36 0 0 28 Jun 2024
Stochastic Concept Bottleneck Models Moritz Vandenhirtz Sonia Laguna Ricards Marcinkevics Julia E. Vogt 43 9 0 27 Jun 2024
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation Katherine M. Collins Najoung Kim Yonatan Bitton Verena Rieser Shayegan Omidshafiei ... Gang Li Adrian Weller Junfeng He Deepak Ramachandran Krishnamurthy Dvijotham EGVM 47 3 0 24 Jun 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi Jae Myung Kim Karsten Roth Zeynep Akata 48 1 0 02 May 2024
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts Yuan Zang Tian Yun Hao Tan Trung Bui Chen Sun VLM CoGe 50 9 0 19 Apr 2024
Incremental Residual Concept Bottleneck Models Chenming Shang Shiji Zhou Hengyuan Zhang Xinzhe Ni Yujiu Yang Yuwang Wang 36 14 0 13 Apr 2024
Understanding Multimodal Deep Neural Networks: A Concept Selection View Chenming Shang Hengyuan Zhang Hao Wen Yujiu Yang 43 5 0 13 Apr 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 29 5 0 21 Mar 2024
On the Concept Trustworthiness in Concept Bottleneck Models Qihan Huang Jie Song Jingwen Hu Haofei Zhang Yong Wang Mingli Song 35 9 0 21 Mar 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 38 3 0 22 Feb 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) Usha Bhalla Alexander X. Oesterling Suraj Srinivas Flavio du Pin Calmon Himabindu Lakkaraju 34 35 0 16 Feb 2024
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks Peter Graf Patrick Emami 24 2 0 07 Feb 2024
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features? Jack Furby Daniel Cunnington Dave Braines Alun D. Preece 35 3 0 01 Feb 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna Ricards Marcinkevics Moritz Vandenhirtz Julia E. Vogt 27 17 0 24 Jan 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation Ricardo Moreira Jacopo Bono Mário Cardoso Pedro Saleiro Mário A. T. Figueiredo P. Bizarro CML 28 4 0 16 Jan 2024
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks Tanmay Garg Deepika Vemuri Vineeth N. Balasubramanian GAN 11 2 0 09 Jan 2024
Do Concept Bottleneck Models Obey Locality? Naveen Raman M. Zarlenga Juyeon Heo M. Jamnik 31 7 0 02 Jan 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology S. Kapse Pushpak Pati Srijan Das Jingwei Zhang Chao Chen Maria Vakalopoulou Joel H. Saltz Dimitris Samaras Rajarsi R. Gupta Prateek Prasanna 26 10 0 22 Dec 2023
Q-SENN: Quantized Self-Explaining Neural Networks Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt AAML MILM 25 6 0 21 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 21 41 0 20 Dec 2023
Benchmarking and Enhancing Disentanglement in Concept-Residual Models Renos Zabounidis Ini Oguntola Konghao Zhao Joseph Campbell Simon Stepputtis Katia P. Sycara 25 1 0 30 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 24 0 18 Nov 2023
Cross-Modal Conceptualization in Bottleneck Models Danis Alukaev S. Kiselev Ilya S. Pershin Bulat Ibragimov Vladimir Ivanov Alexey Kornaev Ivan Titov 33 7 0 23 Oct 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 30 13 0 14 Sep 2023
Learning to Intervene on Concept Bottlenecks David Steinmann Wolfgang Stammer Felix Friedrich Kristian Kersting 17 19 0 25 Aug 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade FAtt 20 8 0 28 Apr 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 35 7 0 23 Mar 2023
Human Uncertainty in Concept-Based AI Systems Katherine M. Collins Matthew Barker M. Zarlenga Naveen Raman Umang Bhatt M. Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham 63 39 0 22 Mar 2023
Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation Naoki Hayashi Yoshihide Sawada UQCV BDL 19 1 0 16 Mar 2023